This core indicator evaluates the status of the marine environment based on the arrival of new non-indigenous species. The new NIS have been detected both through regular environmental monitoring activities, but in many cases based on incidental sightings. The data have been verified by national experts. Monitoring is not considered to sufficiently cover all areas of the Baltic Sea and hot spot areas for new introductions (e.g. ports) to allow for the conclusion that in areas where no new NIS have been observed there have not been any new introductions. This dataset displays the result of the indicator in HELCOM Assessment Scale 2 (Division of the Baltic Sea into 17 sub-basins). Attribute information: “SB_Code” = Code of the Helcom subbasin "Name" = Name of the Helcom scale 2 assessment unit "AREAKM2" = Area of the Helcom scale 2 assessment unit HELCOM_ID = Helcom id of the Helcom scale 2 assessment unit A_unit = Name of scale 2 Helcom assessment unit Threshld_v = Threshold value of indicator Observatio = Observation (0 or 1) Confidence = Confidence of the assessment Species = Species first introduced to the Baltic Sea during 2011-2015 (some 2016 detections included if already available, to be updated for inclusion during 2017) Status = Status of the indicator (“Good”, “Not good” or “Not assessed”)

This dataset contains all dioxinsstations by sub-basin in the Baltic Sea as reported to the HELCOM MORE project.

This dataset represents the underlying data on core indicator Abundance of waterbirds in the wintering season. The core indicator evaluates the status of abundance of wintering waterbirds in the Baltic Sea region. The wintering waterbirds are considered to reflect good status when at least 75% of the considered species deviate less than 30% downwards (species laying more than one egg per year) or 20% downwards (species laying one egg per year) from the baseline condition during the reference period 1991-2000. This dataset displays the result of the indicator in HELCOM Assessment Scale 1 (Whole Baltic) by all species. Attribute information: Country = Country of observation SITECODE = Site unique code COORD_X = longitude coordinate of station COORD_Y = latitude coordinate of station HELCOMSUBB = Name of subbasin SPECIES_NA = Name of the species Year = Year of the observation ABUNDANCE = Abundance COMPLETENE = completeness REFERENCE = Reference of the observations Species list: CYGOL = Cygnus olor = Mute swan CYGCY = Cygnus cygnus = Whooper swan CYGCO = Cygnus columbianus = Tundra swan, Bewick's swan ANAPL = Anas platyrhynchos = Mallard, Common mallard, Northern mallard ANACR = Anas crecca = Common teal, Eurasian teal, Green-winged teal, Teal ANAAC = Anas acuta = Northern pintail, Pintail ANAPE = Anas penelope = Eurasian wigeon, European wigeon, Wigeon AYTFE = Aythya ferina = Common pochard, Northern pochard, Pochard AYTFU = Aythya fuligula = Tufted duck AYTMA = Aythya marila = Greater scaup, Scaup POLST = Polysticta stelleri = Steller's eider SOMMO = Somateria mollissima = Common eider, Eider SOMSP = Somateria spectabilis = King eider CLAHY = Clangula hyemalis = Long-tailed duck MELNI = Melanitta nigra = Black scoter, Common scoter MELFU = Melanitta fusca = Velvet scoter BUCCL = Bucephala clangula = Common goldeneye, Goldeneye MERAL = Mergellus albellus = Smew MERME = Mergus merganser = Goosander MERSE = Mergus serrator = Red-breasted merganser PODCR = Podiceps cristatus = Great crested grebe PODGR = Podiceps grisegena = Red-necked grebe PODAU = Podiceps auritus = Horned grebe, Slavonian grebe GAVST = Gavia stellata = Red-throated loon, Red-throated diver GAVAR = Gavia arctica = Arctic loon, Black-throated diver, Black-throated loon PHACA = Phalacrocorax carbo = Great cormorant, Black shag, cormorant, White-breasted cormorant FULAT = Fulica atra = Common coot, Coot, Eurasian coot, European coot LARMA = Larus marinus = Great black-backed gull, Greater black-backed gull LARAR = Larus argentatus = European herring gull LARFU = Larus fuscus = Lesser black-backed gull LARCA = Larus canus = Common gull, Mew gull LARRI = Larus ridibundus = Black-headed gull, Common black-headed gull LARMI = Larus minutus = Little gull

This dataset describes fishing intensity for SSC DMF mobile bottom contacting gear in 2009 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). ICES secretariat collected during 2017 relevant VMS and logbook data for 2009-2016 to produce, as a technical service to HELCOM, updated spatial data layers on fishing intensity/pressure. Improved data quality control checks were implemented. Submitted data across the HELCOM area have improved in quality compared to previous data 2009-2013 published in 2015. Standardized methods were used to produce the requested data layers. The code used to create the data products is available here: https://github.com/ices-eg/wg_WGSFD For further technical information on the advice request, see http://www.ices.dk/sites/pub/Publication%20Reports/Advice/2017/Special_requests/helcom.2017.18.pdf HELCOM secretariat did the following processing to the shapefile provided by ICES: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon Year: Year of fishing activity mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees SurfaceSAR: Surface area ratio (Swept area, < 2 cm penetration depth of the gear components) Subsurface: Subsurface area ratio (Swept area, subsurface =>2 cm penetration depth of the gear components) totweight: Total Weight (kg) totvalue: Total value (Euros) Kw Fishing Hours: (Kw*h) Fishing hours: (h) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data). Please note that this dataset was updated (v2) in January 2019, see further details below in the lineage section.

Observations of Chara braunii were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Chara braunii has been placed to the Red List category of Vulnerable (VU) species. Dataset for download contains spatial grid of the Baltic Sea. Distribution of the species can be found in corresponding name column. Values are coded: 0 = no observations 1 = present before year 1995 or in 1995 2 = present after year 1995 3 = present before and after year 1995

This dataset describes fishing intensity for subsurface mobile bottom contacting gear in 2010 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). ICES secretariat collected during 2017 relevant VMS and logbook data for 2009-2016 to produce, as a technical service to HELCOM, updated spatial data layers on fishing intensity/pressure. Improved data quality control checks were implemented. Submitted data across the HELCOM area have improved in quality compared to previous data 2009-2013 published in 2015. Standardized methods were used to produce the requested data layers. The code used to create the data products is available here: https://github.com/ices-eg/wg_WGSFD For further technical information on the advice request, see http://www.ices.dk/sites/pub/Publication%20Reports/Advice/2017/Special_requests/helcom.2017.18.pdf HELCOM secretariat did the following processing to the shapefile provided by ICES: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon Year: Year of fishing activity mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees SurfaceSAR: Surface area ratio (Swept area, < 2 cm penetration depth of the gear components) Subsurface: Subsurface area ratio (Swept area, subsurface =>2 cm penetration depth of the gear components) totweight: Total Weight (kg) totvalue: Total value (Euros) Kw Fishing Hours: (Kw*h) Fishing hours: (h) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data). Please note that this dataset was updated (v2) in January 2019, see further details below in the lineage section.

This dataset represents the underlying biota data on core indicator Heavy metals – Mercury.The core indicator evaluates the status of the marine environment based on concentrations of heavy metal Mercury (Hg) in fish muscle. Quantitative threshold value is used to evaluate if core indicators status is Achieve, Fail or Not assessed. Threshold values are based on Environmental quality standards (EQS), defined at EU level for substances included in the priority list under the Water Framework Directive. The Core indicator displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute information: "region" = name of subbasin "country" = country "station" = Unique code for the station "stationNam" = name for the station "determinan" = determinant parameter (HG = Mercury) "detGroup" = the grouping of determinands used to display the results "species" = species of measurement "_shape" = shape used to map assessment results "colour" = colour used to map assessment results "l3area" = HELCOM assessment unit on scale 3 "l4area" = HELCOM assessment unit on scale 4 "nyall" = total number of years of data "nyfit" = number of years of data used in the assessment "nypos" = number of years with at least one measurement above the limit of detection "lastyear" = most recent year of data "prtrend" = the significance of the change over the most recent 20 years; for the assessment conducted in November 2017 and published in June 2018, this is the period 1996-2016 "rtrend" = annual ‘linear’ change over the most recent 20 years "meanLY" = fitted value in last monitoring year "clLY" = upper one-sided 95% confidence limit on fitted value in last monitoring year "HQS" = Threshold value "HQSdiff" = difference between clLY and HQS "HQSbelow" = whether the mean value in the last monitoring year is significantly below HQS

This core indicator evaluates the status of the marine environment based on concentrations of dioxin and dioxin like compounds in Baltic Sea fish, crustacean and molluscs as well as on concentrations of non-dioxin like PCB in Baltic Sea fish. Good status is achieved when the concentrations of PCB, dioxin and furan are below the threshold values. This dataset displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute information: “Code” = Code of the Helcom scale 4 assessment unit “Descriptio” = Description of assessment unit CR = Contamination ratio, 0 – 1= Status is “Good”, 1-99998= Status is “Not good”, 99998-99999= Status “Not assessed” Status = Status of the indicator (“Good”, “Not good” or “Not assessed”) Confidence = Confidence of the status

This dataset contains all PBDE in seawater monitoring station locationsas reported to HELCOM secretariat by HELCOM Contracting Parties by 2016.

Observations of Lebetus guilleti were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Lebetus guilleti has been placed to the Red List category of Data Deficient (DD) species. The map shows the sub-basins in the HELCOM area where the species is known to occur regularly and to reproduce (HELCOM 2012).